The Preliminary Results on Analysis of TAIGA-IACT Images Using Convolutional Neural Networks. - Elizaveta Gres; Alexander Kryukov (CoRR, 2021)

Energy Reconstruction in Analysis of Cherenkov Telescopes Images in TAIGA Experiment Using Deep Learning Methods. - Elizaveta Gres; A. P. Kryukov (CoRR, 2022)

Using conditional variational autoencoders to generate images from atmospheric Cherenkov telescopes. - Stanislav Polyakov; Alexander Kryukov; Andrey Demichev; Julia Y. Dubenskaya; Elizaveta Gres; Anna Vlaskina (CoRR, 2022)

Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis. - Julia Y. Dubenskaya; Alexander Kryukov; Andrey Demichev; Stanislav Polyakov; Elizaveta Gres; Anna Vlaskina (CoRR, 2022)

Selection of gamma events from IACT images with deep learning methods. - Elizaveta Gres; Alexander P. Kryukov; Andrey P. Demichev; Julia J. Dubenskaya; Stanislav P. Polyakov; Anna Vlaskina; Dmitry P. Zhurov (CoRR, 2024)

Gamma/hadron separation in the TAIGA experiment with neural network methods. - Elizaveta Gres; A. P. Kryukov; P. A. Volchugov; Julia J. Dubenskaya; Dmitry P. Zhurov; Stanislav Polyakov; E. B. Postnikov; Anna Vlaskina (CoRR, 2025)

Evaluation of EAS directions based on TAIGA HiSCORE data using fully connected neural networks. - A. P. Kryukov; Stanislav P. Polyakov; Yu. Yu. Dubenskaya; Elizaveta Gres; E. B. Postnikov; P. A. Volchugov; Dmitry P. Zhurov (CoRR, 2025)

Image Data Augmentation for the TAIGA-IACT Experiment with Conditional Generative Adversarial Networks. - Yu. Yu. Dubenskaya; A. P. Kryukov; Elizaveta Gres; Stanislav P. Polyakov; E. B. Postnikov; P. A. Volchugov; Anna Vlaskina; Dmitry P. Zhurov (CoRR, 2025)